"Transcribing Voice Conversations into Structured Meeting Notes" matching MCP servers:

Enables security operations workflows by providing tools for CVSS 3.1 scoring, IOC extraction and defanging, email header triage, hash and JWT decoding, timestamp conversion, layered decoding, and CISA KEV lookups.

Enables engineers to estimate LLM costs, check GPU VRAM fit, audit MCP configs for security risks, and analyze network device config changes and compliance—all locally, with no account or telemetry.

Provides read-only network engineering analysis by parsing configs and logs to explain config changes, check CIS/PCI compliance, diagnose 802.1X issues, find embedded certificates, infer topology, and assess proposed changes before pushing them.

A deliberately insecure note management server designed to test security scanners and train developers by demonstrating common MCP vulnerabilities. It provides tools for creating, searching, and exporting notes while featuring intentional flaws like prompt injection and data leakage.

A deliberately vulnerable MCP server for practicing exploitation of tool poisoning, command injection, and path traversal. Includes fixed versions and an agent demo to reproduce the issues in a controlled environment.

Enables querying SAP Security Note metadata including Patch Day releases, CVSS scores, CVEs, affected components, and actively-exploited status via the Model Context Protocol.

Enables AI agents to enroll and verify voice samples against known identities, providing honest confidence signals about voice authenticity.

Give secure read/write access to your Standard Notes vault — end-to-end encrypted, local stdio only, zero cloud middleman.

Create and read burn-after-read encrypted notes. AES-256-GCM E2E encryption with self-destructing URLs for secure credential handoff between users and AI agents.

Audits PostgreSQL/Supabase schemas for security issues like missing RLS, permissive policies, and sensitive data exposure during AI conversations.

MCP server for Precogly threat modeling, enabling users to integrate threat modeling capabilities into AI assistants.

Converts Claude into a cybersecurity assistant by exposing 17 tools for network reconnaissance, cryptography, and security analysis, enabling users to perform tasks like SSL certificate checking, port scanning, and JWT analysis directly within conversations.

Provides read-only access to HackerOne reports, program scopes, and bounty earnings through the HackerOne API. It enables users to analyze hunting patterns, check asset eligibility, and retrieve report details or triage conversations via natural language.

Enables generating falsifiable fleet hypotheses, compiling them into minimal bounded probe plans with control cohorts, and evaluating observations to return supported, refuted, or inconclusive verdicts.

A local MCP server that provides a safe plan-and-execute workflow for AI coding assistants, storing plans and tasks, and executing agent commands with an allow-list for security.

Turns any web API into a governed, agent-ready MCP server with lockfile-based approval, fail-closed enforcement, and full audit trail.

Connect AI agents to Wavix's communications platform to send SMS, make and manage voice calls, run 2FA flows, and access speech analytics, phone number management, and SIP infrastructure.

Enables AI agents to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios.

Aggregates security intelligence feeds (vulnerabilities, news, threat intel) into a local SQLite database and provides MCP tools for AI agents to query and analyze them.

Provides phone intelligence for AI voice agents, enabling inbound caller identification, outbound risk assessment, line type detection, and do-not-contact checks via four read-only MCP tools.